Pattern Recognition Algorithms for Data Mining - Chapman & Hall / CRC Computer Science & Data Analysis - Sankar K. Pal - Books - Taylor & Francis Ltd - 9780367394240 - September 19, 2019
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Sankar K. Pal
Pattern Recognition Algorithms for Data Mining - Chapman & Hall / CRC Computer Science & Data Analysis 1st edition

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Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. This volume presents various theories, methodologies, and algorithms, using both classical approaches and hybrid paradigms. The authors emphasize large datasets with overlapping, intractable, or nonlinear boundary classes, and datasets that demonstrate granular computing in soft frameworks.

Organized into eight chapters, the book begins with an introduction to PR, data mining, and knowledge discovery concepts. The authors analyze the tasks of multi-scale data condensation and dimensionality reduction, then explore the problem of learning with support vector machine (SVM). They conclude by highlighting the significance of granular computing for different mining tasks in a soft paradigm.

280 pages

Media Books     Paperback Book   (Book with soft cover and glued back)
Released September 19, 2019
ISBN13 9780367394240
Publishers Taylor & Francis Ltd
Pages 280
Dimensions 150 × 220 × 10 mm   ·   385 g
Language English  

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